# Commercial Proposal Comparisons — Adjacent Row Changes + Two-Measure Correlation

> Commercial Proposal Comparisons — Adjacent Row Changes + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Analyzes commercial proposal data (quoted_amount, delivery_days) to produce two local analytical reports: adjacent row changes and two-measure correlation, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-158?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/commercial-proposal-comparisons-adjacent-row-changes-two-measure-3ad37127
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_x9clkH4KbtwMIzGSR8Z2U

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability commercial-proposal-comparisons-adjacent-row-changes-two-measure-3ad37127 -d '<json body>'
```

Example prompt: I have a set of commercial proposal records with quoted amounts and delivery days from multiple company groups — can you run adjacent row change detection and a two-measure correlation analysis on this data? Here are up to 50 rows with fields row_id, company_group, date, quoted_amount, and delivery_days.

## When to prefer this

Choose this endpoint when you need simultaneous adjacent row change detection and two-measure correlation on commercial proposal or procurement bid data (quoted_amount, delivery_days) for up to 200 rows at very low cost ($0.01 USDC for both reports). It is ideal when you have structured tabular proposal data ready to supply and want purely local statistical analysis without any external lookups, predictions, or professional assessments. Prefer alternatives if you need more than 200 rows, more than two measures, real-time data enrichment, or predictive modeling.

## Known failure modes

- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) on any row
- Invalid date format (must be YYYY-MM-DD)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value (must be 'quoted_amount' or 'delivery_days')
- All values null for the selected measure — correlation or change detection cannot be computed

## How this service works

Commercial proposal comparisons — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied commercial proposal comparisons records (quoted_amount, delivery_days). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two analytical reports derived from the supplied rows: (1) an adjacent row changes report showing sequential differences in the selected measure (quoted_amount or delivery_days) across rows, and (2) a two-measure correlation report quantifying the statistical relationship between quoted_amount and delivery_days. No external data is fetched; all computation is performed locally on the provided dataset.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "quoted_amount",
     "delivery_days"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "delivery_days": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "quoted_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "delivery_days": 1,
     "quoted_amount": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "delivery_days": 2,
     "quoted_amount": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "delivery_days": 3,
     "quoted_amount": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "delivery_days": 4,
     "quoted_amount": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "quoted_amount",
    "delivery_days"
   ],
   "type": "string",
   "default": "quoted_amount"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/commercial-proposal-comparisons-adjacent-row-changes-two-measure-3ad37127/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)